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Upload google_embeddinggemma-300m_8.txt with huggingface_hub

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+ ```CODE:
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+ embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)
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+
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+ for idx, embedding in enumerate(embeddings):
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+ print(f"Embedding {idx+1}: {embedding.shape}")
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+
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+ print("-"*80)
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+ check_word_similarities()
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+ ```
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+
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+ ERROR:
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+ Traceback (most recent call last):
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+ File "/tmp/google_embeddinggemma-300m_8kFRUVt.py", line 14, in <module>
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+ embeddings = model.encode(words, truncate_dim=512, normalize_embeddings=True)
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+ ^^^^^
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+ NameError: name 'model' is not defined